Improving Attention and Managing Attentional Problems
Bibliographic record
Abstract
Research and clinical experience in the field of brain injury rehabilitation have focused quite extensively on the need and potential to retrain attentional skills that are commonly affected by acquired brain injury. Four approaches to managing attention impairments that have emerged from this literature include attention process training, training use of strategies and environmental support, training use of external aids, and the provision of psychosocial support. Most often, several of these will be used in combination. For example, a therapy regimen might include attention process training emphasizing specific components of attention (e.g., sustained attention), in conjunction with training in pacing techniques, and psychosocial support, where the client keeps behavioral logs and discusses insights gained from tracking attention successes and attention lapses. Although there are as yet little data with regard to the effectiveness of these approaches in adults with developmental disorders of attention, there is a growing literature suggesting they may be effective in children and adolescents with ADHD. Further investigation of the application of such techniques in adults with a wide variety of attention disorders, including developmental disorders, would be valuable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".